Just take a photo to determine the chemical composition

Chemists use machine learning and robotics to identify chemical compositions from images

21-Mar-2025 - Florida State University chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy. By using robotics to prepare thousands of samples and artificial intelligence to analyze their data, they created a simple, ...

A key to analyzing millions of individual cells

Artificial intelligence in biomedicine

27-Jan-2025 - Our bodies are made up of around 75 billion cells. But what function does each individual cell perform and how greatly do a healthy person’s cells differ from those of someone with a disease? To draw conclusions, enormous quantities of data must be analyzed and interpreted. For this purpose, ...

How machine learning can help predict the spectral properties of materials

07-Jan-2025 - Many techniques in computational materials science require scientists to identify the right set of parameters that capture the physics of the specific material they are studying. Calculating these parameters from scratch is sometimes possible but costs a lot of time and computational power. ...

Algorithm can sniff out whisky’s strongest notes and origin

23-Dec-2024 - Two machine learning algorithms can determine whether a whisky is of American or Scotch origin and identify its strongest aromas, according to research published inCommunications Chemistry. The results also suggest that the algorithms can outperform human experts at assessing a whisky’s ...

Next step in light microscopy image improvement

New deep learning architecture enables higher efficiency compared to widely used methods

21-Nov-2024 - It is the computational processing of images that reveals the finest details of a sample placed under all kinds of different light microscopes. Even though this processing has come a long way, there is still room for increasing for example image contrast and resolution. Based on a unique deep ...

How much microplastic are you drinking?

New tool can tell you in minutes

29-Aug-2024 - Micro- and nanoplastics are in our food, water and the air we breathe. They are showing up in our bodies, from testicles to brain matter. Now, University of British Columbiaresearchers have developed a low-cost, portable tool to accurately measure plastic released from everyday sources like ...

A "molecular" compass shows the way to reducing animal testing

Scientists develop intelligent software tool for assessing chemical risks

22-Aug-2024 - In recent years, machine learning methods have become increasingly important for the risk assessment of chemical compounds. However, they are also a "black box" due to a lack of traceability and transparency, which leads to skepticism among experts and regulatory authorities. In order to increase ...

Information scientists develop method to detect doping cases using AI

13-Aug-2024 - Thousands of athletes were competing for medals at the Olympic Games in Paris. And in some cases, questions will be asked about whether medals were won fairly or whether doping was involved. Software developed by a team led by Wolfgang Maaß, professor of business informatics at Saarland ...

Sensors made from ‘frozen smoke’ can detect toxic formaldehyde in homes and offices

The proof-of-concept sensors could be adapted to detect a wide range of hazardous gases

14-Feb-2024 - Researchers have developed a sensor made from ‘frozen smoke’ that uses artificial intelligence techniques to detect formaldehyde in real time at concentrations as low as eight parts per billion, far beyond the sensitivity of most indoor air quality sensors. The researchers, from the University of ...

Machine learning boosts search for new materials

Scientists have developed deep-learning models that can sift through the massive amounts of data generated by X-ray diffraction techniques

29-Dec-2023 - Scientists from theUniversity of Rochestersay deep learning can supercharge a technique that is already the gold standard for characterizing new materials. In annpj Computational Materialspaper, the interdisciplinary team describes models they developed to better leverage the massive amounts ...